characterizations

Characterizations are one of the two forms of quantitative information in LCA. A characterization relates two different quantities of measurement (known as a reference quantity and a query quantity) for one particular flowable substance, in a specific environmental context and geographic locale.

A QRResult is a namedtuple that documents the result of a "quantity relation" calculation- it reports: - the flowable - the reference quantity - the query quantity - the context / compartment - the locale - the origin of the characterization data - the value of the characterization

Characterization

Bases: object

A characterization is an affiliation of a flow and a quantity. Characterizations are inherently naively spatialized, with factors stored in a dict of locations, and the 'GLO' location being used as the default.

Note: the !only! place a Characterization is created is in TermManager.add_characterization()

__eq__(other)

returns True if the hash elements are all the same

This is clearly broken

Returns true if all of other's location-specific values equal self's values for the same location

Parameters:

Name	Type	Description	Default
other			required

Returns:

Type	Description

__init__(flow_name, ref_quantity, query_quantity, context, origin=None, **kwargs)

Parameters:

Name	Type	Description	Default
flow_name		a canonical string	required
quantity			required
value		passed to add_value if present	required
location		'GLO' passed to add_value if present	required
origin		of data, if applicable	None

Returns:

Type	Description

serialize(values=False, concise=False)

The "concise" option is used within term manager when query quantity, context, and flowable are already serialized

Parameters:

Name	Type	Description	Default
values			False
concise			False

Returns:

Type	Description

LocaleMismatch

Bases: Exception

Requested locale is not found

MissingContext

Bases: Exception

context cannot be None

MissingReference

Bases: Exception

A flow must have a reference quantity to be characterized